Bibliographic record
Abstract
Compared with other organs, the brain is highly enriched in cholesterol. Essentially all cholesterol in the brain is synthesized within the brain; the blood-brain barrier prevents the import of plasma lipoproteins into the brain. Consequently, the brain operates an independent lipoprotein transport system in which glial cells produce ApoE (apolipoprotein E)-containing lipoproteins that are thought to deliver cholesterol to neurons for axonal growth and repair. We have shown that ApoE-containing lipoproteins generated by glial cells stimulate axon extension. ApoE associated with lipoprotein particles, and a receptor of the low-density lipoprotein receptor family, are required for stimulation of axon growth. NPC (Niemann-Pick type C) disease is a severe neurological disorder caused by mutations in the NPC1 or NPC2 gene. A hallmark of this disease is impaired transport of cholesterol out of late endosomes/lysosomes and the accumulation of cholesterol in these organelles. Although cholesterol accumulates in cell bodies of neurons from NPC1-deficient mice, the cholesterol content of axons is reduced. The presence of NPC1 in endosomal structures in nerve terminals, and the finding of aberrant synaptic vesicles, suggest that defects in synaptic vesicle recycling contribute to neurological abnormalities characteristic of NPC disease. We have also shown that ApoE-containing lipoproteins produced by glial cells from NCP1-deficient mice are of normal composition and stimulate axon extension.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".